ReviewBiophysics reviews2020
Dielectrophoresis as a tool for electrophysiological characterization of stem cells.
Review in Biophysics reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Dielectric double shell characterization of yeast cells exposed to simulated microgravity.NPJ microgravity · 2026Article
- Integrated DEP presorting and wireless electrode array for high-throughput selective single-cell isolation.Lab on a chip · 2026Article
- Dielectrophoretic Profiling ofACS measurement science au · 2025Article
- A 3D-printed microdevice for dielectrophoretic torque-driven rotation of dielectric microspheres to support development of manipulation systems for zebrafish eggs.Journal of micromechanics and microengineering : structures, devices, and systems · 2025Article
- Modeling of Electric Field and Dielectrophoretic Force in a Parallel-Plate Cell Separation Device with an Electrode Lid and Analytical Formulation Using Fourier Series.Sensors (Basel, Switzerland) · 2024Article
- OpenDEP: An Open-Source Platform for Dielectrophoresis Spectra Acquisition and Analysis.ACS omega · 2023Article
- Dielectrophoretic profiling of erythrocytes to study the impacts of metabolic stress, temperature, and storage duration utilizing a point-and-planar microdevice.Scientific reports · 2023Article
- Spheroid Engineering in Microfluidic Devices.ACS omega · 2023Review
- On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation.Biosensors · 2022Article
- Review
- Dielectrophoretic Characterization of Tenogenically Differentiating Mesenchymal Stem Cells.Biosensors · 2021Article
- Welcome toBiophysics reviews · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dielectrophoresis (DEP), a nonlinear electrokinetic technique caused by Maxwell-Wagner interfacial polarization of neutral particles in an electrolyte solution, is a powerful cell manipulation method used widely for various applications such as enrichment, trapping, and sorting of heterogeneous cell populations. While conventional cell characterization and sorting methods require tagging or labeling of cells, DEP has the potential to manipulate cells in a label-free way. Due to its unique ability to characterize and sort cells without the need of labeling, there is renewed interest in using DEP for stem cell research and regenerative medicine. Stem cells have the potential to differentiate into various lineages, but achieving homogeneous cell phenotypes from an initially heterogeneous cell population is a challenge. Using DEP to efficiently and affordably identify, sort, and enrich either undifferentiated or differentiated stem cell populations in a label-free way would advance their potential uses for applications in tissue engineering and regenerative medicine. This review summarizes recent, significant research findings regarding the electrophysiological characterization of stem cells, with a focus on cellular dielectric properties, i.e., permittivity and conductivity, and on studies that have obtained these measurements using techniques that preserve cell viability, such as crossover frequency. Potential applications for DEP in regenerative medicine are also discussed. Overall, DEP is a promising technique and, when used to characterize, sort, and enrich stem cells, will advance stem cell-based regenerative therapies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.